- Author
- Date
- 8-2015
- Title
- GIS Navigation Boosted by Column Stores
- Journal
- Proceedings of the VLDB Endowment
- Volume | Issue number
- 8 | 12
- Pages (from-to)
- 1956-1959
- Document type
- Article
- Faculty
- Faculty of Science (FNWI)
- Institute
- Informatics Institute (IVI)
- Abstract
-
Earth observation sciences, astronomy, and seismology have large data sets which have inherently rich spatial and geospatial information. In combination with large collections of semantically rich objects which have a large number of thematic properties, they form a new source of knowledge for urban planning, smart cities and natural resource management.
Modeling and storing these properties indicating the relationships between them is best handled in a relational database. Furthermore, the scalability requirements posed by the latest 26-attribute light detection and ranging (LIDAR) data sets are a challenge for file-based solutions.
In this demo we show how to query a 640 billion point data set using a column store enriched with GIS functionality. Through a lightweight and cache conscious secondary index called Imprints, spatial queries performance on a at table storage is comparable to traditional file-based solutions. All the results are visualised in real time using QGIS. - URL
- go to publisher's site
- Language
- English
- Note
- Proceedings title: Proceedings of the 41st International Conference on Very Large Data Bases, Kohala Coast, Hawaii
Editors: C. Li, V. Markl - Persistent Identifier
- https://hdl.handle.net/11245/1.507936
- Downloads
-
p1956-alvanaki(Final published version)
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